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[BEST_IN_NICHE // OBSERVABILITY & LLMOPS]

Best Observability & LLMOps in May 2026

If you need a Observability & LLMOps tool right now, our caveat-laden pick is BerriAI/litellm (velocity score 3.2/10). Score 3.2/10 — momentum has cooled. Look elsewhere unless you've already integrated. Other tools worth a look: comet-ml/opik, kubesphere/kubesphere, Helicone/helicone. Rankings update daily — see the full top 10 below.

Top 3 picks
[RANK · #01]
BerriAI/litellm
acceleratingscore 3.2/10+653 stars/7d
[RANK · #02]
comet-ml/opik
stablescore 0.8/10+50 stars/7d
[RANK · #03]
kubesphere/kubesphere
stablescore 0.8/10+7 stars/7d
Top 10 ranked
Tool
Velocity
Trend 30d
Δ 7d
Stars
Class
  • BerriAI/litellmPython SDK, Proxy Server (AI Gateway) to call 100+ LLM APIs in OpenAI (or native) format, with cost tracking, guardrails, loadbalancing and logging. [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, VLLM, NVIDIA NIM]
    3.21↑ +65347kAccel
  • comet-ml/opikDebug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
    0.85↑ +5019kStable
  • kubesphere/kubesphereThe container platform tailored for Kubernetes multi-cloud, datacenter, and edge management ⎈ 🖥 ☁️
    0.81↑ +717kStable
  • Helicone/helicone🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓
    0.78↑ +305.7kStable
Frequently asked

What's the best Observability & LLMOps right now?

BerriAI/litellm. Beam ranks Observability & LLMOps tools at 3.2/10 velocity. Score 3.2/10 — momentum has cooled. Look elsewhere unless you've already integrated.

What other Observability & LLMOps tools should I consider?

Beyond BerriAI/litellm, the next four highest-velocity Observability & LLMOps tools beam tracks are comet-ml/opik, kubesphere/kubesphere, Helicone/helicone. Open any tool's profile for the full signal breakdown.

How does beam rank Observability & LLMOps tools?

Beam fuses five orthogonal signals into a single velocity score: code activity, package adoption, research citation, sentiment, and production signals. The score multiplies across signals, so any one signal collapsing pulls the whole score down — that's how beam catches stars-up-commits-down decay. Full methodology at /about/methodology.

Is BerriAI/litellm actively maintained?

See the live status check at /tools/32/status for the direct-answer verdict, last-commit timestamp, and 90-day velocity chart. Beam refreshes daily.

Full Observability & LLMOps feed Methodology All niche picks
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